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The Applied Research Laboratory at Penn State University
Posted 69 days agoVerified live 2d ago

AI/ML Research Support Intern

Brief overview

State College, PAIn-person
UndergradOr in progress
Clearance requiredU.S. government
AI/ML data preparationData labeling and annotationGeospatial dataAI/ML model developmentData quality assuranceGeospatial conceptsMapping technologiesData analysisData annotationCommitment to data qualityDrive to learn and grow

Job description

Summary

The Applied Research Laboratory at Penn State University is seeking a motivated undergraduate student for an AI/ML Research Support Internship. The role focuses on gaining hands-on experience in AI/ML data preparation and contributing to meaningful research, particularly in labeling and annotating datasets and supporting model development.

Responsibilities

  • Label and annotate diverse datasets with a primary focus on geospatial data such as tracks, images, video, text, and sensor data
  • Support AI/ML model development for Navy, Department of Defense (DoD), and Intelligence Community (IC) applications
  • Utilize industry-standard and custom labeling tools while collaborating with AI/ML researchers and engineers to understand requirements and contribute to data quality assurance processes

Skills

  • Motivated undergraduate student
  • Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)
  • Drive to learn and grow in the AI/ML field
  • Commitment to data quality
  • Strong attention to detail
  • Eligible to obtain a government security clearance
  • Participate in the ARL drug testing program
  • Comply with electronic and physical monitoring requirements applicable to federal contractors
  • Must be a U.S. citizen to apply
  • Interest in artificial intelligence, machine learning, or data science
  • Familiarity with geospatial concepts or mapping technologies
  • Previous experience with data analysis or annotation at any level

Qualifications

Must Haves

  • Motivated undergraduate student
  • Undergraduate students in a STEM major (Computer Science, Engineering, Mathematics, Data Science, Information Sciences, or related fields)
  • Drive to learn and grow in the AI/ML field
  • Commitment to data quality
  • Strong attention to detail
  • Eligible to obtain a government security clearance
  • Participate in the ARL drug testing program
  • Comply with electronic and physical monitoring requirements applicable to federal contractors
  • Must be a U.S. citizen to apply

Nice to Haves

  • Interest in artificial intelligence, machine learning, or data science
  • Familiarity with geospatial concepts or mapping technologies
  • Previous experience with data analysis or annotation at any level

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